Evidence map›Paper›PMID 41327825›Full record

ArticleRenal failure2025

Initial factors associated with in-hospital mortality in both critically ill and non-critically ill hospitalized patients with acute kidney injury in Northern Tanzania: a single center cohort study.

Philip C Makupa, Neema W Minja, Elifuraha Mkwizu, Furaha S Lyamuya, Elichilia R Shao, Edward Thomas, Nyasatu G Chamba, Gissela Nyakunga, Eliasa Ndale, Faryal Raza and 4 more

Abstract read
In one paragraph

Article in Renal failure, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Philip C MakupaDepartment of Internal Medicine, Kilimanjaro Christian Medical Centre, Moshi, Tanzania.
Neema W MinjaKilimanjaro Clinical Research Institute, Moshi, Tanzania.
Elifuraha MkwizuDepartment of Internal Medicine, Kilimanjaro Christian Medical Centre, Moshi, Tanzania.
Furaha S LyamuyaDepartment of Internal Medicine, Kilimanjaro Christian Medical Centre, Moshi, Tanzania.
Elichilia R ShaoDepartment of Internal Medicine, Kilimanjaro Christian Medical Centre, Moshi, Tanzania.
Edward ThomasDepartment of Internal Medicine, Kilimanjaro Christian Medical Centre, Moshi, Tanzania.
Nyasatu G ChambaDepartment of Internal Medicine, Kilimanjaro Christian Medical Centre, Moshi, Tanzania.
Gissela NyakungaDepartment of Internal Medicine, KCMC University, Moshi, Tanzania.
Eliasa NdaleDepartment of Internal Medicine, Kilimanjaro Christian Medical Centre, Moshi, Tanzania.
Faryal RazaDepartment of Internal Medicine, KCMC University, Moshi, Tanzania.
Daniel MujuniDepartment of Internal Medicine, KCMC University, Moshi, Tanzania.
Lucas MbujiDepartment of Internal Medicine, KCMC University, Moshi, Tanzania.
Huda AkrabiDepartment of Internal Medicine, Kilimanjaro Christian Medical Centre, Moshi, Tanzania.
Kajiru KilonzoDepartment of Internal Medicine, Kilimanjaro Christian Medical Centre, Moshi, Tanzania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute kidney injury (AKI) is prevalent in Intensive Care Unit settings, with rates exceeding 50%. While many studies from sub-Saharan Africa focus on critically ill AKI patients, limited data exist on non-critically ill patients, hindering effective dialysis prioritization. Studies from developed countries suggest AKI is also common in non-critical settings. This study aimed to assess mortality rates among critically ill and non-critically ill hospitalized AKI patients and identify early mortality predictors at the time of AKI diagnosis. A single-center prospective cohort study was conducted at Kilimanjaro Christian Medical Center between September 2023 and February 2024. Patients admitted to the internal medicine ward were assessed, with critical illness determined using the Universal Vital Assessment (UVA) score. Cox regression identified predictors of in-hospital mortality, and Kaplan-Meier curves assessed survival time. Out of 1,211 admissions, 139 patients met inclusion criteria. Overall hospital mortality was 39.6%, higher in critically ill patients (57.1% vs. 21.7%,

Indexed as

Acute Kidney InjuryCritical IllnessHospital MortalityAdultAgedFemaleHospitalizationHumansIntensive Care UnitsKaplan-Meier EstimateMaleMiddle AgedProspective StudiesRisk FactorsTanzaniaAcute kidney injurycritical illnesshospital mortalityICUSSAtraditional herbal medicine

Identifiers

PMID41327825
PMCPMC12673978

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.